| Title | A Review on Phishing Websites Revealing through Machine Learning |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Singh Sengar, Alok, Bhola, Abhishek, Shukla, Ratnesh Kumar, Gupta, Anurag |
| Conference Name | 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART) |
| Keywords | detection, Distance measurement, Human Behavior, machine learning, Machine Learning(ML), Market research, passwords, phishing, phishing Websites, pubcrawl, Real-time Systems, security |
| Abstract | Phishing is a frequent assault in which unsuspecting people's unique, private, and sensitive information is stolen through fake websites. The primary objective of phishing websites'consistent resource allocators isto steal unique, private, and sensitive information such as user login passwords and online financial transactions. Phishers construct phony websites that look and sound just like genuine things. With the advent of technology, there are protecting users significantly increased in phishing methods. It necessitates the development of an anti-phishing technology to identify phishing and protect users. Machine learning is a useful technique for combating phishing attempts. These articles were utilized to examine Machine learning for detection strategies and characteristics. |
| DOI | 10.1109/SMART52563.2021.9676288 |
| Citation Key | singh_sengar_review_2021 |
A Review on Phishing Websites Revealing through Machine Learning